Adaptive street lighting
Lighting intensity is adjusted according to the time of day, use and conditions, and faulty streetlights are detected automatically.
All solutions
05 · Sustainability
Catalogue module · phased deploymentEnergy AI
Optimisation of energy consumption and municipal lighting.
The challenge
Municipal energy spending is spread across lighting, buildings, heating and cooling, and the vehicle fleet, and is often only known when the bill arrives.
The solution
Optimisation of street lighting, municipal buildings, solar self-consumption, heating and cooling, and electric vehicle charging, with detection of abnormal consumption.
Features
- Smart street lighting
- Efficiency in municipal buildings
- Solar self-consumption
- Heating and cooling
- Electric vehicle charging
- Detection of abnormal consumption
Use cases
How it applies in the city
Efficient municipal buildings
Buildings with abnormal consumption or with heating and cooling left on out of hours are identified, and adjustments are proposed.
Self-consumption and EV charging
Solar generation and electric vehicle charging are coordinated with building demand.
Architecture
From data to action
Data sources
- Energy meters and analysers
- Remotely managed street lighting
- Heating and cooling systems
- Solar installations and charging points
Energy AI
Outputs
- Detection of abnormal consumption
- Adjustment recommendations
- Measurement of savings after each intervention
- Energy reports
Benefits
What the municipality gains
- Visibility of consumption by building and installation
- Savings measured against a verifiable baseline
- Faster maintenance of street lighting
- Support for the municipality’s sustainability targets
Integration with Equilia City Brain
Energy AI gives City Brain the energy status of the city; combined with Environment AI and the municipal calendar, it helps anticipate demand peaks and prioritise investment.
High energy consumption
Energy AI detects inefficient municipal buildings, recommends adjustments and quantifies the actual savings once they are applied.
Sustainability
Other solutions in this area
Interested in Energy AI?
Combine it with other solutions and we will prepare a joint proposal for your municipality.